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Utilization efficient game-theoretical handover scheme for macro-femtocell networks

机译:宏毫微微小区网络利用高效的博弈论切换方案

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The Macro-Femtocell system is widely used in current society because the cooperation between Macrocell base stations and Femtocell base stations can improve the communication capacity of certain areas and adapt to the large multi-user demand. To increase the system's communication quality, the handover scheme should be utilized when the user is moving within the limited coverage of Femtocell base stations. Generally, the Markov decision strategy is used for mobile users in the process of handover. However, the Markov decision process can't ensure the maximum utilization balance of Macrocell base stations and Femtocell base stations. In this case, users often choose the base station offering the highest signal strength, which will cause a Macrocell base station's load to be too large and Femtocell base stations to be idle, so the system's utilization is very low. To address this problem, we propose the utilization efficient game-theoretical handover scheme based on Starckberg competition theory for appropriately increasing a Femtocell base station's transmitting power. This can ensure the communication quality of the system and guarantees the system's load balance to induce users to take the initiative in processing the handover scheme. Finally, the simulation results show that our strategy is effective in choosing the best base station to receive the highest signal strength by predicting the user's movement. It could also realize the load balance of the antenna in the system. The overall transmission quality of the user group is optimized.
机译:宏-毫微微小区系统在当前社会中被广泛使用,因为宏小区基站与毫微微小区基站之间的合作可以提高某些区域的通信能力并适应大的多用户需求。为了提高系统的通信质量,当用户在毫微微小区基站的有限覆盖范围内移动时,应采用切换方案。通常,马尔科夫决策策略在切换过程中用于移动用户。但是,马尔可夫决策过程无法确保Macrocell基站和Femtocell基站的最大利用率平衡。在这种情况下,用户通常会选择信号强度最高的基站,这将导致宏蜂窝基站的负载过大而毫微微蜂窝基站处于空闲状态,因此系统的利用率非常低。为了解决这个问题,我们提出了一种基于斯达克伯格竞争理论的,利用效率高的博弈论切换方案,以适当地提高毫微微小区基站的发射功率。这样既可以保证系统的通信质量,又可以保证系统的负载均衡,促使用户主动处理切换方案。最后,仿真结果表明,通过预测用户的运动,我们的策略可有效地选择最佳基站以接收最高信号强度。它还可以实现系统中天线的负载平衡。用户组的整体传输质量得到优化。

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